20 data-science "https:" "https:" "https:" "https:" "https:" positions at Linköping University
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quantification of cardiovascular hemodynamics through the measurement of blood flow in the heart and blood vessels. By combining such data with physiology-based mathematical models, patient-specific
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group on artificial intelligence and causal inference for the social sciences, in close collaboration with the Data Science and AI division at Chalmers. The employment This employment is a temporary
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application of advanced AI methods across a wide range of domains, including technology and tools, data, life science, materials science, autonomous systems, training, and other emerging application areas
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conducting statistical analyses, developing analysis plans, managing and quality-assuring research data, working with national registries and clinical study data, and writing scientific manuscripts. You will
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position offers significant responsibility within one of Sweden’s key infrastructures for data-driven life science. You will lead the scientific aspects of the operation and drive national and
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random matrix theory and statistical inference theory, with applications in several fields of science. Special emphasis will be devoted to practical problems in economics and finance, like the
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PhD student in cognitive science or design with a focus on socially critical use of drone swarms Linkoping Reference number IDA-2026-00183 We have the power of over 50,000 students and co-workers
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-performance computing resources, storage capacity, and data services. NAISS is hosted by Linköping University and has 12 partner universities across Sweden. We are looking for two AI Infrastructure
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looking for someone with a PhD in a relevant field (eg neuroscience, cognitive science, psychology, psychiatry) You have the following experience and knowledge: strong competence in planning and
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and statistical inference theory, with applications in several fields of science. Special emphasis will be devoted to practical problems in economics and finance, like the construction of high